Incident · Collision
Argo AI reported one minor injury crash in July 2021 in Pennsylvania
NHTSA crash data showed Argo AI reported one minor injury crash in July 2021. Most other Argo AI incidents were property damage only. Company wound down before any major safety incidents.
Occurred 2021-07-01 · Argo AI
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- Markdown mirror: /incidents/argo-ai-minor-injury-crash-jul-2021.md
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- REST API: /v1/incidents/b29cf32a-1daa-4313-a876-7a150fedecbd
- Data documentation: /data
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Sources (1)
Common questions
- What happened in Argo AI reported one minor injury crash in July 2021 in Pennsylvania?
- NHTSA crash data showed Argo AI reported one minor injury crash in July 2021. Most other Argo AI incidents were property damage only. Company wound down before any major safety incidents.
- When did this incident occur?
- The incident is recorded as occurring on July 1, 2021 on the DEPLOY registry. The date reflects the underlying real-world event, not the registry record's creation date.
- Who was involved in Argo AI reported one minor injury crash in July 2021 in Pennsylvania?
- The incident is recorded as involving Argo AI on the DEPLOY registry. No specific robot model is linked to this incident in the registry.
- Has anyone responded to Argo AI reported one minor injury crash in July 2021 in Pennsylvania?
- No responses to this incident are recorded on the DEPLOY registry. Operators, manufacturers, or affected parties can submit responses to the editorial team; absence is not a guarantee no response was issued.
- What is the current status of Argo AI reported one minor injury crash in July 2021 in Pennsylvania?
- This incident is an active record on the DEPLOY registry; no retraction or correction has been issued.
Methodology: Unreviewed · 1 source (no primary) · last reviewed 2026-07-09
Verification posture
Unreviewed
Low confidence
Review state
Stable
Last reviewed 2026-07-09
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
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Canonical ID b29cf32a-1daa-4313-a876-7a150fedecbd